TY  - GEN
AB  - Applied Linear Regression for Business Analytics with R introduces regression analysis to business students using the R programming language with a focus on illustrating and solving real-time, topical problems. Specifically, this book presents modern and relevant case studies from the business world, along with clear and concise explanations of the theory, intuition, hands-on examples, and the coding required to employ regression modeling. Each chapter includes the mathematical formulation and details of regression analysis and provides in-depth practical analysis using the R programming language.
AU  - McGibney, Daniel P.,
CN  - HD30.2
DO  - 10.1007/978-3-031-21480-6
DO  - doi
ID  - 1469461
KW  - Business
KW  - R (Computer program language)
KW  - Regression analysis.
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-21480-6
N2  - Applied Linear Regression for Business Analytics with R introduces regression analysis to business students using the R programming language with a focus on illustrating and solving real-time, topical problems. Specifically, this book presents modern and relevant case studies from the business world, along with clear and concise explanations of the theory, intuition, hands-on examples, and the coding required to employ regression modeling. Each chapter includes the mathematical formulation and details of regression analysis and provides in-depth practical analysis using the R programming language.
SN  - 9783031214806
SN  - 3031214803
T1  - Applied linear regression for business analytics with R :a practical guide to data science with case studies /
TI  - Applied linear regression for business analytics with R :a practical guide to data science with case studies /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-21480-6
VL  - volume 337
ER  -